一种面向颜色校正的拼接图像质量评价方法

A Stitched Image Quality Assessment Method for Color Correction

为了更好地设计和评估图像拼接算法,提出一种面向颜色校正的拼接图像质量评价方法。该方法利用现有的颜色校正算法和拼接算法建立了含有5种色差的拼接图像库;分别从拼接前图像序列和拼接图像中提取4个特征,将4个特征进行融合后,通过支持向量回归算法建立特征与质量之间的关系模型,预测色差拼接图像质量。实验结果表明,所提方法可以有效评估色差拼接图像的质量。

In order to evaluate and design the stitching algorithm better,a color-corrected stitched image quality assessment method is proposed.A stitched image database with five kinds of color differences is established by using the current color correction algorithm and stitching algorithm.To evaluate color-difference stitched images quality comprehensively,four features are extracted from pre-splicing image sequence and stitched image respectively.Then four features are combined to establish a relation model between features and quality through support vector regression algorithm,so as to predict color-difference stitched image quality.Experimental result shows that the proposed method can effectively evaluate color-difference stitched images quality.